Abstract

Graphical processing units are now being used with dramatic effect to accelerate quantum
chemistry calculations. However, early work exposed challenges involving memory
bottlenecks and insufficient numerical precision. This research effort addresses those issues,
proposing two new tools for accelerating matrix multiplications of arbitrary size where
single-precision accuracy is not enough.